Memory management and parallelization of data intensive all-to-all comparison in shared-memory systems

Krishnajith, Anaththa Pathiranage Dhanushka (2014) Memory management and parallelization of data intensive all-to-all comparison in shared-memory systems. PhD thesis, Queensland University of Technology.


This thesis presents a novel program parallelization technique incorporating with dynamic and static scheduling. It utilizes a problem specific pattern developed from the prior knowledge of the targeted problem abstraction. Suitable for solving complex parallelization problems such as data intensive all-to-all comparison constrained by memory, the technique delivers more robust and faster task scheduling compared to the state-of-the art techniques. Good performance is achieved from the technique in data intensive bioinformatics applications.

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104 since deposited on 17 Dec 2014
52 in the past twelve months

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ID Code: 79187
Item Type: QUT Thesis (PhD)
Supervisor: Tian, Glen & Kelly, Wayne
Keywords: All-to-all comparison, Composition vector method, Parallelization, Shared-memory systems, Memory management
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 17 Dec 2014 06:31
Last Modified: 08 Sep 2015 06:49

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